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Bioinformatics analysis of the epitope regions for norovirus capsid protein
BACKGROUND: Norovirus is the major cause of nonbacterial epidemic gastroenteritis, being highly prevalent in both developing and developed countries. Despite of the available monoclonal antibodies (MAbs) for different sub-genogroups, a comprehensive epitope analysis based on various bioinformatics t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599080/ https://www.ncbi.nlm.nih.gov/pubmed/23514273 http://dx.doi.org/10.1186/1471-2105-14-S4-S5 |
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author | Chen, Liping Wu, Di Ji, Lei Wu, Xiaofang Xu, Deshun Cao, Zhiwei Han, Jiankang |
author_facet | Chen, Liping Wu, Di Ji, Lei Wu, Xiaofang Xu, Deshun Cao, Zhiwei Han, Jiankang |
author_sort | Chen, Liping |
collection | PubMed |
description | BACKGROUND: Norovirus is the major cause of nonbacterial epidemic gastroenteritis, being highly prevalent in both developing and developed countries. Despite of the available monoclonal antibodies (MAbs) for different sub-genogroups, a comprehensive epitope analysis based on various bioinformatics technology is highly desired for future potential antibody development in clinical diagonosis and treatment. METHODS: A total of 18 full-length human norovirus capsid protein sequences were downloaded from GenBank. Protein modeling was performed with program Modeller 9.9. The modeled 3D structures of capsid protein of norovirus were submitted to the protein antigen spatial epitope prediction webserver (SEPPA) for predicting the possible spatial epitopes with the default threshold. The results were processed using the Biosoftware. RESULTS: Compared with GI, we found that the GII genogroup had four deletions and two special insertions in the VP1 region. The predicted conformational epitope regions mainly concentrated on N-terminal (1~96), Middle Part (298~305, 355~375) and C-terminal (560~570). We find two common epitope regions on sequences for GI and GII genogroup, and also found an exclusive epitope region for GII genogroup. CONCLUSIONS: The predicted conformational epitope regions of norovirus VP1 mainly concentrated on N-terminal, Middle Part and C-terminal. We find two common epitope regions on sequences for GI and GII genogroup, and also found an exclusive epitope region for GII genogroup. The overlapping with experimental epitopes indicates the important role of latest computational technologies. With the fast development of computational immunology tools, the bioinformatics pipeline will be more and more critical to vaccine design. |
format | Online Article Text |
id | pubmed-3599080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35990802013-03-25 Bioinformatics analysis of the epitope regions for norovirus capsid protein Chen, Liping Wu, Di Ji, Lei Wu, Xiaofang Xu, Deshun Cao, Zhiwei Han, Jiankang BMC Bioinformatics Research BACKGROUND: Norovirus is the major cause of nonbacterial epidemic gastroenteritis, being highly prevalent in both developing and developed countries. Despite of the available monoclonal antibodies (MAbs) for different sub-genogroups, a comprehensive epitope analysis based on various bioinformatics technology is highly desired for future potential antibody development in clinical diagonosis and treatment. METHODS: A total of 18 full-length human norovirus capsid protein sequences were downloaded from GenBank. Protein modeling was performed with program Modeller 9.9. The modeled 3D structures of capsid protein of norovirus were submitted to the protein antigen spatial epitope prediction webserver (SEPPA) for predicting the possible spatial epitopes with the default threshold. The results were processed using the Biosoftware. RESULTS: Compared with GI, we found that the GII genogroup had four deletions and two special insertions in the VP1 region. The predicted conformational epitope regions mainly concentrated on N-terminal (1~96), Middle Part (298~305, 355~375) and C-terminal (560~570). We find two common epitope regions on sequences for GI and GII genogroup, and also found an exclusive epitope region for GII genogroup. CONCLUSIONS: The predicted conformational epitope regions of norovirus VP1 mainly concentrated on N-terminal, Middle Part and C-terminal. We find two common epitope regions on sequences for GI and GII genogroup, and also found an exclusive epitope region for GII genogroup. The overlapping with experimental epitopes indicates the important role of latest computational technologies. With the fast development of computational immunology tools, the bioinformatics pipeline will be more and more critical to vaccine design. BioMed Central 2013-03-08 /pmc/articles/PMC3599080/ /pubmed/23514273 http://dx.doi.org/10.1186/1471-2105-14-S4-S5 Text en Copyright ©2013 Chen et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Chen, Liping Wu, Di Ji, Lei Wu, Xiaofang Xu, Deshun Cao, Zhiwei Han, Jiankang Bioinformatics analysis of the epitope regions for norovirus capsid protein |
title | Bioinformatics analysis of the epitope regions for norovirus capsid protein |
title_full | Bioinformatics analysis of the epitope regions for norovirus capsid protein |
title_fullStr | Bioinformatics analysis of the epitope regions for norovirus capsid protein |
title_full_unstemmed | Bioinformatics analysis of the epitope regions for norovirus capsid protein |
title_short | Bioinformatics analysis of the epitope regions for norovirus capsid protein |
title_sort | bioinformatics analysis of the epitope regions for norovirus capsid protein |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599080/ https://www.ncbi.nlm.nih.gov/pubmed/23514273 http://dx.doi.org/10.1186/1471-2105-14-S4-S5 |
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